标签：日志采集 start string from 字符 xtend user nts agent
今天主要进行了spark实验六的学习，Spark Streaming 编程初级实践
#flume-to-spark.conf: A single-node Flume configuration # Name the components on this agent a1.sources = r1 a1.sinks = k1 a1.channels = c1 # Describe/configure the source a1.sources.r1.type = netcat a1.sources.r1.bind = localhost a1.sources.r1.port = 33333 # Describe the sink a1.sinks.k1.type = avro a1.sinks.k1.hostname = localhost a1.sinks.k1.port =44444 # Use a channel which buffers events in memory a1.channels.c1.type = memory a1.channels.c1.capacity = 1000000 a1.channels.c1.transactionCapacity = 1000000 # Bind the source and sink to the channel a1.sources.r1.channels = c1 a1.sinks.k1.channel = c1
package org.apache.spark.examples.streaming
import org.apache.spark.SparkConf
import org.apache.spark.storage.StorageLevel
import org.apache.spark.streaming._
import org.apache.spark.streaming.flume._
import org.apache.spark.util.IntParam
object FlumeEventCount {
def main(args: Array[String]) {
if (args.length < 2) {
System.err.println(
"Usage: FlumeEventCount <host> <port>")
System.exit(1)
}
StreamingExamples.setStreamingLogLevels()
val Array(host, IntParam(port)) = args
val batchInterval = Milliseconds(2000)
// Create the context and set the batch size
val sparkConf = new SparkConf().setAppName("FlumeEventCount").setMaster("local
[2]")
val ssc = new StreamingContext(sparkConf, batchInterval)
// Create a flume stream
val stream = FlumeUtils.createStream(ssc, host, port, StorageLevel.MEMORY_ONLY_S
ER_2)
// Print out the count of events received from this server in each batch
stream.count().map(cnt => "Received " + cnt + " flume events." ).print()
ssc.start()
ssc.awaitTermination()
} }
package org.apache.spark.examples.streaming
import org.apache.log4j.{Level, Logger}
import org.apache.spark.internal.Logging
object StreamingExamples extends Logging {
/** Set reasonable logging levels for streaming if the user has not configured log4
j. */
def setStreamingLogLevels() {
val log4jInitialized = Logger.getRootLogger.getAllAppenders.hasMoreElements
if (!log4jInitialized) {
// We first log something to initialize Spark‘s default logging, then we overri
de the
// logging level.
logInfo("Setting log level to [WARN] for streaming example." +
" To override add a custom log4j.properties to the classpath.")
Logger.getRootLogger.setLevel(Level.WARN)
}
}
}
name := "Simple Project" version := "1.0" scalaVersion := "2.11.8" libraryDependencies += "org.apache.spark" %% "spark-core" % "2.1.0" libraryDependencies += "org.apache.spark" % "spark-streaming_2.11" % "2.1.0" libraryDependencies += "org.apache.spark" % "spark-streaming-flume_2.11" % "2.1.0"
进行打包：
标签：日志采集 start string from 字符 xtend user nts agent
原文地址：https://www.cnblogs.com/ljm-zsy/p/12268395.html
